Quantifying the impact of wind turbine wakes on power output at offshore wind farms

Barthelmie, RJ; Pryor, SC; Frandsen, ST; Hansen, KS; Schepers, JG; Rados, K; Schlez, W; Neubert, A; Jensen, LE; Neckelmann, S

dc.contributor.author	Barthelmie, RJ	en
dc.contributor.author	Pryor, SC	en
dc.contributor.author	Frandsen, ST	en
dc.contributor.author	Hansen, KS	en
dc.contributor.author	Schepers, JG	en
dc.contributor.author	Rados, K	en
dc.contributor.author	Schlez, W	en
dc.contributor.author	Neubert, A	en
dc.contributor.author	Jensen, LE	en
dc.contributor.author	Neckelmann, S	en
dc.date.accessioned	2014-03-01T01:34:23Z
dc.date.available	2014-03-01T01:34:23Z
dc.date.issued	2010	en
dc.identifier.issn	0739-0572	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20718
dc.subject.classification	Engineering, Ocean	en
dc.subject.classification	Meteorology & Atmospheric Sciences	en
dc.subject.other	Computational fluid dynamics models	en
dc.subject.other	Data ensemble	en
dc.subject.other	Data screening	en
dc.subject.other	Degree of uncertainty	en
dc.subject.other	Ensemble averages	en
dc.subject.other	High variability	en
dc.subject.other	Model performance	en
dc.subject.other	Oblique angles	en
dc.subject.other	Offshore wind farms	en
dc.subject.other	Power out put	en
dc.subject.other	Power-losses	en
dc.subject.other	Root-mean square errors	en
dc.subject.other	Rotor diameter	en
dc.subject.other	Wind farm	en
dc.subject.other	Wind speed	en
dc.subject.other	Wind turbine wakes	en
dc.subject.other	Computational fluid dynamics	en
dc.subject.other	Computer simulation	en
dc.subject.other	Electric utilities	en
dc.subject.other	Farms	en
dc.subject.other	Offshore power plants	en
dc.subject.other	Thermoelectric power	en
dc.subject.other	Wakes	en
dc.subject.other	Wind turbines	en
dc.subject.other	Wind power	en
dc.subject.other	computational fluid dynamics	en
dc.subject.other	computer simulation	en
dc.subject.other	design	en
dc.subject.other	model test	en
dc.subject.other	numerical model	en
dc.subject.other	offshore structure	en
dc.subject.other	optimization	en
dc.subject.other	performance assessment	en
dc.subject.other	power generation	en
dc.subject.other	quantitative analysis	en
dc.subject.other	uncertainty analysis	en
dc.subject.other	wake	en
dc.subject.other	wind farm	en
dc.subject.other	wind turbine	en
dc.subject.other	wind velocity	en
dc.subject.other	Atlantic Ocean	en
dc.subject.other	Denmark	en
dc.subject.other	Horns Rev	en
dc.subject.other	Lolland	en
dc.subject.other	North Sea	en
dc.subject.other	Nysted	en
dc.subject.other	Sjaelland	en
dc.title	Quantifying the impact of wind turbine wakes on power output at offshore wind farms	en
heal.type	journalArticle	en
heal.identifier.primary	10.1175/2010JTECHA1398.1	en
heal.identifier.secondary	http://dx.doi.org/10.1175/2010JTECHA1398.1	en
heal.language	English	en
heal.publicationDate	2010	en
heal.abstract	There is an urgent need to develop and optimize tools for designing large wind farm arrays for deployment offshore. This research is focused on improving the understanding of, and modeling of, wind turbine wakes in order to make more accurate power output predictions for large offshore wind farms. Detailed data ensembles of power losses due to wakes at the large wind farms at Nysted and Horns Rev are presented and analyzed. Differences in turbine spacing (10.5 versus 7 rotor diameters) are not differentiable in wake-related power losses from the two wind farms. This is partly due to the high variability in the data despite careful data screening. A number of ensemble averages are simulated with a range of wind farm and computational fluid dynamics models and compared to observed wake losses. All models were able to capture wake width to some degree, and some models also captured the decrease of power output moving through the wind farm. Rootmean-square errors indicate a generally better model performance for higher wind speeds (10 rather than 6 m s-1) and for direct down the row flow than for oblique angles. Despite this progress, wake modeling of large wind farms is still subject to an unacceptably high degree of uncertainty. © 2010 American Meteorological Society.	en
heal.publisher	AMER METEOROLOGICAL SOC	en
heal.journalName	Journal of Atmospheric and Oceanic Technology	en
dc.identifier.doi	10.1175/2010JTECHA1398.1	en
dc.identifier.isi	ISI:000281160600003	en
dc.identifier.volume	27	en
dc.identifier.issue	8	en
dc.identifier.spage	1302	en
dc.identifier.epage	1317	en